Nico Voss

405 total citations
11 papers, 274 citations indexed

About

Nico Voss is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Nico Voss has authored 11 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 1 paper in Computational Theory and Mathematics and 1 paper in Genetics. Recurrent topics in Nico Voss's work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers) and Genomics and Chromatin Dynamics (4 papers). Nico Voss is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (6 papers) and Genomics and Chromatin Dynamics (4 papers). Nico Voss collaborates with scholars based in Germany, Russia and Netherlands. Nico Voss's co-authors include Edgar Wingender, Olga Kel‐Margoulis, Alexander Kel, Philip Stegmaier, Ruy Jáuregui, А. П. Потапов, Mathias Krull, Dmitry Shtokalo, Claudia Choi and Susanne Pistor and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Nico Voss

11 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nico Voss Germany 9 217 28 25 25 23 11 274
Antonio Mora China 10 296 1.4× 50 1.8× 22 0.9× 29 1.2× 32 1.4× 21 405
Prabakaran Nagarajan United States 10 287 1.3× 26 0.9× 11 0.4× 25 1.0× 27 1.2× 14 355
Ivana Ihnatová Czechia 9 187 0.9× 29 1.0× 10 0.4× 28 1.1× 34 1.5× 17 274
Alessandra Lo Sardo Italy 8 289 1.3× 67 2.4× 25 1.0× 17 0.7× 76 3.3× 9 381
Stephanie Dorman United States 6 173 0.8× 74 2.6× 16 0.6× 23 0.9× 46 2.0× 13 282
Christian Löbke Germany 7 297 1.4× 19 0.7× 52 2.1× 9 0.4× 40 1.7× 9 375
Clemens Wrzodek Germany 13 306 1.4× 40 1.4× 35 1.4× 7 0.3× 21 0.9× 19 372
Aishwariya Sharma Canada 9 170 0.8× 44 1.6× 22 0.9× 13 0.5× 23 1.0× 16 372
Chuang Kee Ong United Kingdom 3 202 0.9× 30 1.1× 55 2.2× 46 1.8× 19 0.8× 3 320

Countries citing papers authored by Nico Voss

Since Specialization
Citations

This map shows the geographic impact of Nico Voss's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nico Voss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico Voss more than expected).

Fields of papers citing papers by Nico Voss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nico Voss. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nico Voss. The network helps show where Nico Voss may publish in the future.

Co-authorship network of co-authors of Nico Voss

This figure shows the co-authorship network connecting the top 25 collaborators of Nico Voss. A scholar is included among the top collaborators of Nico Voss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nico Voss. Nico Voss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Stegmaier, Philip, et al.. (2011). Advanced Computational Biology Methods Identify Molecular Switches for Malignancy in an EGF Mouse Model of Liver Cancer. PLoS ONE. 6(3). e17738–e17738. 18 indexed citations
2.
Stegmaier, Philip, Mathias Krull, Nico Voss, Alexander Kel, & Edgar Wingender. (2010). Molecular mechanistic associations of human diseases. BMC Systems Biology. 4(1). 124–124. 11 indexed citations
3.
Kel, Alexander, et al.. (2008). ExPlain™: finding upstream drug targets in disease gene regulatory networks. SAR and QSAR in environmental research. 19(5-6). 481–494. 30 indexed citations
4.
Kel, Alexander, et al.. (2008). Building a knowledge base for systems pathology. Briefings in Bioinformatics. 9(6). 518–531. 11 indexed citations
5.
Shtokalo, Dmitry, Tatiana Konovalova, Nico Voss, et al.. (2006). Composite Module Analyst: identification of transcription factor binding site combinations using genetic algorithm. Nucleic Acids Research. 34(Web Server). W541–W545. 45 indexed citations
6.
Voss, Nico, et al.. (2006). Beyond microarrays: Finding key transcription factors controlling signal transduction pathways. BMC Bioinformatics. 7(S2). S13–S13. 76 indexed citations
7.
Потапов, А. П., et al.. (2005). Topology of mammalian transcription networks.. PubMed. 16(2). 270–8. 37 indexed citations
8.
Kel, Alexander, Nico Voss, Tatyana A. Konovalova, et al.. (2004). From composite patters to pathways – Prediction of key regulators of gene expression. 189–198. 3 indexed citations
9.
Kel, Alexander, et al.. (2004). Recognition of multiple patterns in unaligned sets of sequences: comparison of kernel clustering method with other methods. Bioinformatics. 20(10). 1512–1516. 1 indexed citations
10.
Choi, Claudia, Mathias Krull, Alexander Kel, et al.. (2004). TRANSPATH®—a high quality database focused on signal transduction. Comparative and Functional Genomics. 5(2). 163–168. 26 indexed citations
11.
Choi, Claudia, Alexander Kel, Olga Kel‐Margoulis, et al.. (2004). Consistent re-modeling of signaling pathways and its implementation in the TRANSPATH database.. PubMed. 15(2). 244–54. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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